Empirical Nonparametric Methods
and High Dimensional Data Visualization Group
Goals: The group concerns with research on two different but complementing broad areas of
empirical nonparametrics and high dimensional data visualization. Nonparametric bootstrap
methods are used to conduct statistical inference in spatio-temporal models, model-based
estimation in survey sampling, and additive models. On high dimensional data visualization,
we study sparsity in relation to data visualization and clustering, examine the implications of
certain time series attributes, and other problems and issues usually encountered in data
mining and other activities related to business intelligence.
Study Leader: Erniel B. Barrios
Members:
· Genelyn F. Sarte
· Joseph Ryan G. Lansangan
· Wendell Q. Campano
· Angela D. Nalica
· Lorelie Santos
· Maureen Dinna D. Giron
· Edward Santos
Publications:
·
Lansangan and Barrios, 2009, Principal Components Analysis of Nonstationary Time
Series Data, , Statistics and Computing, 19:177-187, available on-line August 2,
2008, doi:10.1007/s11222-008-9082-y
·
Lavado and Barrios, 2008, Spatial-Temporal Dimensions of Efficiency Among Electric
Cooperatives in the Philippines, Discussion Paper Series No. 2008-29, Philippine
Institute for Development Studies.
·
Barrios and Sarte, 2008, Monitoring Sustainable Agriculture in Southeast
Asia, International Journal of Sustainable Development and World Ecology, 15:95102.
·
Barrios, 2007, Dynamics of Development in Rural Communities, ADBI Discussion
Paper No. 73, Asian Development Bank Institute, Tokyo, Japan, May 2007
(http://www.adbi.org/files/dp73.rural.communities.development.infrastructure.pdf)
·
Barrios, 2007, Convergence in Agriculture of Some Asian Countries, ADBI Discussion
Paper No. 71, Asian Development Bank Institute, Tokyo, Japan, May
2007(http://www.adbi.org/files/dp71.agricultural.growth.convergence.pdf)
·
Nalica and Barrios, 2007, Approaches in Forecasting Cereal Production, The
Philippine Statistician, 56:85-102
·
Landagan and Barrios, 2007, An Estimation Procedure for a Spatial-Temporal
Model, Statistics and Probability Letters, 77:401-406.
·
Barrios and Komoto, 2006, Some Approaches in the Construction of a Sustainable
Development Index for The Philippines, International Journal of Sustainable
Development and World Ecology, 13:277-288.
·
Guarte and Barrios, 2006, Estimation Under Purposive Sampling, Communications in
Statistics- Simulation and Computation, 35:277-284.
·
Nalica and Barrios, 2005, On The Statistical Aspects of Sustainable Development
Index in The Philippines, The Philippine Statistician, 54:63-70.
Current Manuscript:
·
Barrios, Efficient Access of Rural Development Among Rural Households, revised for
International Regional Science Review
·
Barrios and Nalica, Convergence of Growth in Rice Production in the Philippines, for
revision in Journal of Applied Statistics
·
Barrios, Spatial Autoregression Stochastic Frontier Model, submitted to Journal of
Applied Statistics
·
Campano and Barrios, Robust Estimation of a Time Series Model with Structural
Changes, submitted to Journal of Statistical Computing and Simulation
·
Lemence and Barrios, Testing for the Presence of Structural Change and Spatial
Heterogeneity in a Spatio-Temporal Model, submitted to Journal of Nonparametric
Statistics
·
Dumanjug, Barrios, and Lansangan, Bootstrap Procedures in a Spatial Temporal
Model, forthcoming in Journal of Statistical Computing and Simulation
·
DelaRosa and Barrios, A Simulation Study on Nonparametric Krigging Method
·
Martinez and Barrios, Small Area Estimation With a Multivariate Spatial-Temporal
Model
·
Barrios, Growth, Convergence and Spending Efficiency Among Filipino Households
·
Sangay and Barrios, Expenditure Efficiency Among Households in Bhutan
·
Mina and Barrios, Unearthing Poverty with Multivariate Adaptive Regression Splines
·
Sobrevinas and Barrios, Nonparametric Analysis of the Impact of Rice Trade Policy
Reforms on Household Welfare in the Philippines
·
Barrios, Spatial-Temporal Efficiency of Regional Economies in the Philippines